Claire E. Kelly

This study evaluates variability in white matter bundle segmentation across 42 groups using the same dataset, finding protocol variability exceeds other sources of inconsistency.

This study examines individual variation in brain age prediction using machine learning models and finds significant between-subject differences in feature importance despite consistent overall patterns.

The paper extends the M-CRIB neonatal brain atlas to include 54 white matter regions using manual segmentation and co-registration of diffusion tensor imaging data.

The paper updates the M-CRIB neonatal brain atlas to align with the Desikan-Killiany-Tourville adult atlas and FreeSurfer subcortical segmentations, resulting in a more compatible and accurate whole-brain parcellation.